ARTIFICIAL INTELLIGENCE AND GEOSPATIAL ANALYSIS IN DISASTER MANAGEMENT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 For quick and efficient response, as well as for recovery after any natural or artificial catastrophe, one of the most important things are accurate and reliable spatial data in real or near real-time.
M. Ivić
doaj +5 more sources
Special issue on geospatial artificial intelligence. [PDF]
Geoinformatica, 2023 Gao S, Hu Y, Li W, Zou L.
europepmc +3 more sources
A A Review of the Integration Between Geospatial Artificial Intelligence and Remote Sensing
Iraqi Journal for Computer Science and Mathematics: Experts have extensively explored the advantages and applications of modern artificial intelligence (AI) algorithms across various domains. Geomatics data processing is no exception, as AI offers significant opportunities in this field.
abeer alshiha
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Foundation Models for Generalist Geospatial Artificial Intelligence
CoRR, 2023 Significant progress in the development of highly adaptable and reusable Artificial Intelligence (AI) models is expected to have a significant impact on Earth science and remote sensing. Foundation models are pre-trained on large unlabeled datasets through self-supervision, and then fine-tuned for various downstream tasks with small labeled datasets ...
Jakubik, Johannes +32 more
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On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence
CoRR, 2023 Large pre-trained models, also known as foundation models (FMs), are trained in a task-agnostic manner on large-scale data and can be adapted to a wide range of downstream tasks by fine-tuning, few-shot, or even zero-shot learning. Despite their successes in language and vision tasks, we have yet seen an attempt to develop foundation models for ...
Gengchen Mai +13 more
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GeoAI: a review of artificial intelligence approaches for the interpretation of complex geomatics data [PDF]
Geoscientific Instrumentation, Methods and Data Systems, 2022 Researchers have explored the benefits and applications of modern artificial intelligence (AI) algorithms in different scenarios. For the processing of geomatics data, AI offers overwhelming opportunities.
R. Pierdicca, M. Paolanti, M. Paolanti
doaj +1 more source
A Review on the Application of Natural Computing in Environmental Informatics [PDF]
, 2018 Natural computing offers new opportunities to understand, model and analyze the complexity of the physical and human-created environment. This paper examines the application of natural computing in environmental informatics, by investigating related work
Kamilaris, Andreas
core +11 more sources
IET Renewable Power Generation, 2022 In this paper, an efficient sine cosine differential gradient‐based optimization method is proposed for identifying unknown parameters of photovoltaic models.
Sudan Yu +5 more
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Ontological Foundations for Geographic Information Science [PDF]
, 2004 We propose as a UCGIS research priority the topic of “Ontological Foundations for Geographic Information.” Under this umbrella we unify several interrelated research subfields, each of which deals with different perspectives on geospatial ontologies and ...
Egenhofer, Max +3 more
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Introduction for the Special Issue on Beyond the Hypes of Geospatial Big Data: Theories, Methods, Analytics, and Applications [PDF]
, 2019 We live in the era of ‘Big Data’. In particular, Geospatial data, whether captured through remote sensors (e.g., satellite imagery) or generated from large-scale simulations (e.g., climate change models) have always been significantly large in size. Over
Kealy, Allison +2 more
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